The CIN group conducts multidisciplinary research, both basic and applied, that examine the use, costs, quality, accessibility, delivery, organization, financing, and outcomes of health care services to increase knowledge and understanding of the structure, processes, and effects of health services for individuals and populations. The key focus at HSU is the understanding and acquisition of knowledge on how to improve quality and coverage of effective interventions to achieve desired health outcomes. Research at HSU includes pragmatic clinical trials, measuring effectiveness, clinical policy, measuring and understanding outcomes, implementation health research, quality improvement, Service delivery innovation, health governance, human resource for health, patient and family experiences, and health information systems. The group is affiliated to the KEMRI-Wellcome Trust Research Programme. Each dataset has a citation and DOI, facilitating attribution and connection to research publications. For more information on our research work, visit our page via Health Systems Research @ KEMRI-Wellcome Trust Research Programme
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31 to 40 of 127 Results
Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Oct 30, 2023
Wainaina, John; Ogero, Morris; Mumelo, Livingstone; Wairoto, Kefa; Mbevi, George; Tuti, Timothy; Mwaniki, Paul; Irimu, Grace; English, Mike; Aluvaala, Jalemba; The Clinical Information Network Author Group, 2023, "Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality", https://doi.org/10.7910/DVN/VDSUDE, Harvard Dataverse, V1, UNF:6:mjZsyi3XOts07bqrJ1m0Cw== [fileUNF]
This is a replication dataset for the publication titled: "Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality". Hypothermia among newborns has reported to increase risk of neonatal mortality. However, these reports have ori...
01_data_munging.R
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
R Syntax - 23.6 KB - MD5: b96491838d1043d5b2d9c8f9588e6850
CodeR Script
02_descriptive.R
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
R Syntax - 18.7 KB - MD5: 98acf4f98705558c3f3c0701952ccaba
CodeR Script
03_risk_models.R
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
R Syntax - 19.8 KB - MD5: 647cedb04fddd536afc01fe0b94b0d08
CodeR Script
Hypothermia Study - Data_Codebook.pdf
Hypothermia Study - Data_Codebook.pdf
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Adobe PDF - 252.4 KB - MD5: 26d4de73828eab0b22a3505a0947b448
DocumentationVariable Codebook/Data Dictionary
Hypothermia Study - Data_Readme.txt
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Plain Text - 4.7 KB - MD5: 1fcc11dc82aab1f781e9cd136b2c22b7
DocumentationReadme
Inpatient Neonatal Dataset_anon.tab
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Tabular Data - 32.4 MB - 92 Variables, 58804 Observations - UNF:6:xPSgaGKw2Z4NkF4Wg1Gl9A==
CSVData
This dataset was initially created in 2014 as a product of routine data capture of newborn unit clinical care processes with an aim to audit documentation, improve documentation, inculcate culture of use of data for policy and ward decisions and as a platform to embed research studies. Data involved in the analysis was a subset of a larger dataset...
surface_data.tab
Oct 30, 2023 - Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality
Tabular Data - 7.7 MB - 5 Variables, 7581 Observations - UNF:6:rkMs2vvZQus6ZiYctZoHJA==
CSVData
Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya
Aug 14, 2023
Otuko, Rachel; Maina, Michuki; Mwaniki, Paul; Mweu, Marshal; Akech, Samuel, 2023, "Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya", https://doi.org/10.7910/DVN/MOZQXQ, Harvard Dataverse, V1, UNF:6:fKm1Tol4yvHaL1vkjS9cSQ== [fileUNF]
The dataset contains information on paediatric patients admitted to CIN hospitals in Kenya between 2014 and 2020. The data includes demographics, patient history, diagnoses and treatment. It was used to describe the patterns and determinats of antibiotic use among admitted children. The data are collected from record forms in the hospital when the...
Antibiotics prescribed 2014-2020.xlsx
Aug 14, 2023 - Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya
MS Excel Spreadsheet - 11.6 MB - MD5: 78be682bdda566149da864f66a4a9fed
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